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» Computing fundamental groups from point clouds
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ISVC
2009
Springer
15 years 5 months ago
Group Action Recognition Using Space-Time Interest Points
Group action recognition is a challenging task in computer vision due to the large complexity induced by multiple motion patterns. This paper aims at analyzing group actions in vid...
Qingdi Wei, Xiaoqin Zhang, Yu Kong, Weiming Hu, Ha...
97
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CORR
2002
Springer
160views Education» more  CORR 2002»
14 years 10 months ago
Structure from Motion: Theoretical Foundations of a Novel Approach Using Custom Built Invariants
We rephrase the problem of 3D reconstruction from images in terms of intersections of projections of orbits of custom built Lie groups actions. We then use an algorithmic method b...
Pierre-Louis Bazin, Mireille Boutin
COMPLEX
2009
Springer
15 years 5 months ago
Comparing Networks from a Data Analysis Perspective
To probe network characteristics, two predominant ways of network comparison are global property statistics and subgraph enumeration. However, they suffer from limited information...
Wei Li, Jing-Yu Yang
CVPR
2012
IEEE
13 years 1 months ago
Road network extraction from airborne LiDAR data using scene context
We presented a novel procedure to extract ground road networks from airborne LiDAR data. First point clouds were separated into ground and non-ground parts, and ground roads were ...
Jiaping Zhao, Suya You
CVPR
2004
IEEE
16 years 23 days ago
Inference of Multiple Subspaces from High-Dimensional Data and Application to Multibody Grouping
Multibody grouping is a representative of applying subspace constraints in computer vision tasks. Under linear projection models, feature points of multibody reside in multiple su...
Zhimin Fan, Jie Zhou, Ying Wu